How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Data tagging method</td><td class="align_center">ACC</td><td class="align_center">f1-score</td><td class="align_center">AUC</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Moving percentile method</td><td class="align_center">0.8586</td><td class="align_center">0.7610</td><td class="align_center">0.8429</td></tr><tr><td class="align_left">Monthly upquartile marking</td><td class="align_center">0.8317</td><td class="align_center">0.6963</td><td class="align_center">0.7967</td></tr><tr><td class="align_left">Dual cycle daily marking</td><td class="align_center">0.8391</td><td class="align_center">0.7129</td><td class="align_center">0.7508</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Evaluation of different data tagging methods.</div>

Computational and Mathematical Methods in Medicine

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Table 7

Table 7: How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning 